Results 311 to 320 of about 379,431 (345)
Some of the next articles are maybe not open access.
Sentence Compression for Aspect-Based Sentiment Analysis
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment ...
Wanxiang Che +4 more
openaire +2 more sources
LLaMA-Based Models for Aspect-Based Sentiment Analysis
Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisWhile large language models (LLMs) show promise for various tasks, their performance in compound aspect-based sentiment analysis (ABSA) tasks lags behind fine-tuned models. However, the potential of LLMs fine-tuned for ABSA remains unexplored. This paper
Jakub Šmíd +2 more
semanticscholar +1 more source
Exploring Scope Detection for Aspect-Based Sentiment Analysis
IEEE/ACM Transactions on Audio Speech and Language ProcessingAspect-based sentiment analysis (ABSA) aims to extract the aspect terms from review text, and to predict the polarity towards the aspect term. Although neural models have achieved competitive results, there are still many challenges in this task. Firstly,
Xiaotong Jiang +4 more
semanticscholar +1 more source
A corpus for aspect-based sentiment analysis in Vietnamese
2019 11th International Conference on Knowledge and Systems Engineering (KSE), 2019Recently, researchers have shown an increased interest in the aspect-based sentiment analysis problem. The goal is to extract valuable information concerning the aspects mentioned in users comments. This problem can be divided into three sub-tasks: term extraction, aspect detection, and polarity detection.
Dang Van Thin +3 more
openaire +2 more sources
Aspect-Based Unsupervised Negative Sentiment Analysis
2021Twitter is a social media platform where users post their opinions on various events, products, services and celebrities. Automated analysis of these public posts is useful for tapping into public opinion and sentiment. Identifying negative public sentiment assumes importance when national security issues are at stake or when critical analysis of a ...
Mainak Ghosh, Kirtika Gupta, Seba Susan
openaire +2 more sources
Aspect Based Sentiment Analysis for Online Reviews
2017Learning good semantic vector representations for sentiment analysis in phrases, sentences and paragraphs is a challenging and ongoing area of natural language processing. In this paper, we propose a Convolution Neural Network for aspect level sentiment classification.
Jin Liu +3 more
openaire +2 more sources
Aspect Based Sentiment Analysis
2024 5th International Conference for Emerging Technology (INCET)Sentiment analysis is considered an effective tool that extracts the emotional state information of Human beings. The current researcher concentrates on aspect-based sentiment analysis as enables user to dictate the sentiments of an aspect in a specific ...
Vijayalaxmi V. Tadkal +2 more
semanticscholar +1 more source
Deep learning for Aspect-based Sentiment Analysis [PDF]
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2021 Jie Wang, Yujie Zu, Bingxin Xu
openaire +1 more source
Metabolomics in cancer research and emerging applications in clinical oncology
Ca-A Cancer Journal for Clinicians, 2021Daniel R Schmidt +2 more
exaly
Aspect-based sentiment analysis via multitask learning for online reviews
Knowledge-Based Systems, 2023Guoshuai Zhao +3 more
semanticscholar +1 more source